Answer:
x=20
Step-by-step explanation:
73-13=60
60÷3=20
Answer: C. there is still not enough evidence to conclude that the time series is stationary.
Step-by-step explanation: First thing to note for a time series plot is that it is required to select a suitable forecast method for the data set being considered.
A stationary time series means that the process generating the data set has a constant mean and the variations are constant over time. This means all evidence is present leading to the conclusion that the entire time series is stationary. A stationary time series thus exhibits an horizontal pattern which enables an appropriate forecast method to be selected for this type of pattern.
A horizontal pattern of a time series plot indicates that a data set fluctuates around a constant mean for a period of time. This period of time may however not be the entire time of the time series or take the entire data set into consideration and might just be a reflection of a portion of the time series hence why it can not be explicitly considered to be stationary. This means that a horizontal pattern can change into a seasonal or trending pattern if more variables/data are added over time.
For instance, a manufacturer sells a certain amount of products over a 10 week period and the resulting pattern of a time series plot is horizontal, then from the 11th week to the 15th week he gets a sharp and continuous increase in sales. This change in level will therefore change the time series plot from horizontal to trending making it more difficult to select a suitable forecast method.
The answer to your question is option b
Answer:
B
Step-by-step explanation:
B is the only answer that will ensure she gets graduate students in the sample without getting too few or too many.
Step-by-step explanation:
7z-5=4y-6
-4y=-6-7z+5
-4y=-1-7z
y=1/4+7/4z
y=7/4z+1/4
7z=4y-6+5
7z=4y-1
z=4/7y-1/7
